{"id":"W2960137677","doi":"10.1121/1.5117167","title":"The influence of tone language experience and speech style on the use of intonation in language discrimination","year":2019,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto Mississauga","keywords":"Mandarin Chinese; Tone (literature); Intonation (linguistics); Linguistics; Style (visual arts); Perception; Phrase; Psychology; Speech perception; Speech recognition; Computer science; History","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005584126,0.000375544,0.0001963966,0.00019434,0.0001293032,0.0005779311,0.0001269428,0.0001567767,0.001830034],"category_scores_gemma":[0.003441443,0.000202913,0.0001248833,0.00008206546,0.0003295593,0.0002979826,0.0002941649,0.0002538989,0.0002591029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008221859,"about_ca_system_score_gemma":0.0001283407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004249223,"about_ca_topic_score_gemma":0.0009858641,"domain_scores_codex":[0.9996747,0.000111736,0.00003122392,0.00006913484,0.00007378783,0.00003949476],"domain_scores_gemma":[0.997135,0.001727931,0.0004203834,0.0001683945,0.00019549,0.0003527001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00527234,0.0004025401,0.09596215,0.0001218499,0.00008245393,0.0003387466,0.002244395,0.0001091687,0.8741174,0.0000544798,0.00004566733,0.02124888],"study_design_scores_gemma":[0.00004685437,0.003605534,0.9671699,0.00000868177,0.00005960571,0.0003797301,0.0005848251,0.0003975684,0.02739829,0.00008271837,0.0002496516,0.00001680702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993162,0.00003476749,0.0001521045,0.00000533664,0.0000035526,0.000004651026,0.00001257656,0.000002094543,0.0004687995],"genre_scores_gemma":[0.9990784,0.00006522787,0.0002917665,0.00002007753,0.000005516048,0.000007368268,0.00003639109,0.000007276691,0.0004880413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830034,"threshold_uncertainty_score":0.006122112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644427004375203,"score_gpt":0.3521140200573768,"score_spread":0.3256697500136247,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}